Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
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Updated
Jul 10, 2024 - TypeScript
Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
Build a RAG preprocessing pipeline
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3 and OpenAI Models via the Groq API.
Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.
This is a production-ready applications using RAG-based Language Model.
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